Pre-registration
Lower export-product concentration predicts faster subsequent real GDP per-capita growth and stronger high-technology export performance.
Falsification criterion — what would disprove this
This hypothesis is considered falsified if:
SUPPORTED if export concentration is negative at p<0.10 for forward income growth and negative or null for high-tech exports. REFUTED if it is positive at p<0.10 for forward growth. Otherwise PARTIAL.
formal test & threshold
test: panel_fe_market_dynamism_export_diversification_growth threshold: [object Object]
Method
- Template
panel_fe- Fixed effects
country, year- Clustering
country- Sample
- 40 countries · 1988 – 2023
- Evidence type
- associational
Export diversification is treated as a revealed market-discovery outcome, not as proof that laissez-faire caused diversification.
Data
| Variable | Source | Transform |
|---|---|---|
real_gdp_pc_growth_5yr_forward outcome | world_bank_wdi:NY.GDP.PCAP.KDtier 2 | cumulative_log_growth_5yr_forward |
high_tech_exports_share outcome | world_bank_wdi:TX.VAL.TECH.MF.ZStier 2 | level |
export_product_concentration treatment | wits:product_concentrationtier 2 | level_lagged_one_year |
log_gdp_pc control | world_bank_wdi:NY.GDP.PCAP.KDtier 2 | log |
trade_openness control | world_bank_wdi:NE.TRD.GNFS.ZStier 2 | level |
private_credit_depth control | world_bank_wdi:FS.AST.PRVT.GD.ZStier 2 | level |
● ready · ● pending · ● reconstruct-needed
Detailed result card
Result card — market_dynamism_export_diversification_growth
Verdict: PARTIAL — coef=-3.163e-17, p=0.818; effect magnitude effectively zero
Pre-registration
- Claim: Lower export-product concentration predicts faster subsequent real GDP per-capita growth and stronger high-technology export performance.
- Falsification rule: SUPPORTED if export concentration is negative at p<0.10 for forward income growth and negative or null for high-tech exports. REFUTED if it is positive at p<0.10 for forward growth. Otherwise PARTIAL.
- Falsification test: panel_fe_market_dynamism_export_diversification_growth
Estimate
- Method: linearmodels.PanelOLS
- Coefficient (treatment): -3.163e-17
- Std error: 1.376e-16
- p-value: 0.818
- Observations: 831, countries: 31
- Within R²: 1
- Fixed effects: entity=True, time=True
- Clustering: country
Variables resolved
world_bank_wdi:NY.GDP.PCAP.KD→ real_gdp_pc_growth_5yr_forward (outcome, publisher=world_bank_wdi, n=12104)world_bank_wdi:TX.VAL.TECH.MF.ZS→ high_tech_exports_share (outcome, publisher=world_bank_wdi, n=3283)wits:product_concentration→ export_product_concentration (treatment, publisher=wits, n=5129)world_bank_wdi:NY.GDP.PCAP.KD→ log_gdp_pc (controls, publisher=world_bank_wdi, n=12104)world_bank_wdi:NE.TRD.GNFS.ZS→ trade_openness (controls, publisher=world_bank_wdi, n=10714)world_bank_wdi:FS.AST.PRVT.GD.ZS→ private_credit_depth (controls, publisher=world_bank_wdi, n=9562)
Generated by scripts/run_panel_fe.py at 2026-06-29T17:52:54+00:00
Strongest opposing argument
Every hypothesis ships with its charitable opposing argument. The framework earns credibility by handling objections at their strongest, not weakest.